About The Position
We are looking for a highly experienced and driven Senior AI Deployment Engineer to join our forward-thinking cloud development and operations team. In this role, you will contribute to the design, development, and operation of sophisticated cloud-based AI solutions built on the CNCF ecosystem including Kubernetes, running on cutting-edge hardware from leading vendors. This role focuses mainly on deploying AI infrastructure built on NVIDIA-certified hardware, following architecture and implementation designs produced by our engineering team. You will play a pivotal role in ensuring the reliability, security, and performance of container infrastructure, while mentoring team members and Mirantis customers to deliver high-quality software and services. As a senior engineer, you will work closely with stakeholders to define technical strategies, solve complex challenges, and ensure the seamless integration of cloud and software services. This is an excellent opportunity to make a significant impact while driving innovation in a rapidly evolving cloud ecosystem.
Requirements
- 5+ years of professional experience in DevOps, with a strong focus on cloud and infrastructure technologies, including Kubernetes and/or OpenStack
- Experience with high-performance data center processing, networking, and storage
- Exposure to Golang and working knowledge of other programming languages (Python, JavaScript).
- Strong knowledge of distributed systems, microservices architecture, and CI/CD pipelines.
- Exceptional problem-solving and debugging skills across networking and storage (hardware and software), Linux, and Kubernetes, with attention to performance optimization and security.
- Demonstrated ability to lead technical tasks and collaborate effectively with diverse teams.
- Comfortable making independent judgment calls when working directly with customers, often with limited day-to-day oversight.
- Excellent written and spoken English.
- Excellent customer-facing communication skills.
- A commitment to innovation, continuous learning, and delivering high-quality results.
- Ability to travel up to 25% if needed, including internationally.
- Bachelor's degree in Computer Science or a related field, or equivalent experience.
- At least 5 years of DevOps or Software Development experience or in a similar role.
Nice To Haves
- Extensive experience in network and/or storage architecture.
- Experience with high-performance computing or GPU infrastructure: GPU scheduling, MIG/vGPU, RDMA/RoCE or InfiniBand fabrics, NVLink, DCGM health-checking, GPU driver/firmware lifecycle or NVIDIA AI Enterprise.
- Presence in the open source community including upstream contribution and conference presentations.
- Prior experience with commercial container and virtual compute infrastructure platforms such as Rancher, Openshift, and VMware.
Responsibilities
- Work with geographically distributed international teams on technical challenges and process improvements.
- Develop, implement, maintain, and troubleshoot cloud and AI infrastructure solutions based on open source software.
- Collaborate with stakeholders to gather and refine technical requirements.
- Optimize system performance, reliability, and scalability.
- Troubleshoot, debug, and resolve complex technical issues.
- Participate in code reviews to maintain high quality standards.
- Stay up to date with industry trends and best practices in cloud operations and development.
- Design and implement AI-driven automation across the DevOps lifecycle, including code development and maintenance.
- Facilitate knowledge transfer to customers during the delivery phases.
Benefits
- Professional development and training
- Attend conferences and working groups
- Company outings, happy hours, hackathons, and tech talks
- Receive a competitive compensation package with a strong benefits plan.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
